About

I am a graduate student of the Sustainable Design and Construction Program Civil and Environmental Engineering, Stanford University (2020 - 2022). My research interests lie in applying data-driven methods and Artificial Intelligence (AI) to Architecture Engineering and Construction (AEC) to help us create smart and sustainable infrastructures and living environments.

Education Experience

2020 - 2022 M.S. in Sustainable Design and Construction Program in Civil and Environmental Engineering Department
Stanford University

2019 - 2020 Exchange Student in GeoSystems Engineering Program in Civil and Environmental Engineering Department
University of California, Berkeley (One Year)

2019 B.E. in Civil and Environmental Engineering
Tongji University

Conferences

• Speaker in the 4th International Conference on Information Technology in Geo-Engineering (4ICITG) organized by Geotechnical Society of Singapore. Presentation: “A Long-term Probabilistic Forecasting Approach of TBM Operating Parameters based on Deep Learning.” (August 2022, online, https://www.4iticg.org/4-august-2022)

• Speaker in the II International Geo-science Machine Learning Big Data Seminar. Presentation: “Predicting TBM Performance using Machine Learning: is Surrounding Rock Information Important.” (August 2019, Shanghai)

Publications

1. ” A LSTM-based model for TBM performance prediction and the effect of rock mass grade on prediction accuracy ” (China Civil Engineering Journal, first author, accepted)

2. “PigSense: Vibration-based Activity and Health Monitoring System for Pigs” (ACM Journals, co-author, in review)

3. “Improving adaptation to wildfire smoke and extreme heat in vulnerable communities: Evidence from a pilot study in the San Francisco Bay Area” (Environmental Research Letters, contributor, ready to submit)

Research Projects

1. Computer Vision-based Pavement Distress Detection System (March 2022-Now)
   

   Worked as a research assistant advised by Pooja Jain (V.P. Strategic Innovation in WSP) and [Dr. Martin Fischer] (Professor at Stanford).

   This is a significant exploration of developing the practical workflow of a vision-based automatic pavement distress detection system and software kit, and I am also responsible for discovering the potential business value of the process.
   
   

2. Pilot Air Quality Analysis in the Bay Area (Mar 2022 - Now)
   Worked as a research assistant advised by Derek Ouyang (Research Manager at the RegLab, Stanford) and Dr. Gabrielle Wong-Parodi.

   This community-engaged pilot study aims to improve adaptation to wildfire smoke and extreme heat in vulnerable communities. I am responsible for characterizing these communities’ air quality and exploring their human-induced and environment-induced influence on it. The team I led characterized the relationship between indoor and outdoor air quality with a spike lag model and verified it by actual monitoring data, which will be a vital contribution to our new journal paper.